ArticleMaternal and child health journal2010
Perinatal periods of risk: analytic preparation and phase 1 analytic methods for investigating feto-infant mortality.
Article in Maternal and child health journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Going beyond participation: community-led design and evaluation of the Philly Joy Bank.Frontiers in public health · 2026Article
- Perinatal Periods of Risk Analysis: Disentangling Race and Socioeconomic Status to Inform a Black Infant Mortality Community Action Initiative.Maternal and child health journal · 2017Article
- Investigating the Decline of Fetal and Infant Mortality Rates in Alaska During 2010 and 2011.Maternal and child health journal · 2016Article
- Understanding perinatal death: a systematic analysis of New York City fetal and neonatal death vital record data and implications for improvement, 2007-2011.Maternal and child health journal · 2014Article
- Application of a Mixed Methods Approach to Identify Community-Level Solutions to Decrease Racial Disparities in Infant Mortality.Journal of racial and ethnic health disparities · 2014Article
- Very low birth weight and perinatal periods of risk: disparities in St. Louis.BioMed research international · 2014Article
- Excess infant mortality among Native Hawaiians: identifying determinants for preventive action.American journal of public health · 2013Article
- Developing a standard approach to examine infant mortality: findings from the State Infant Mortality Collaborative (SIMC).Maternal and child health journal · 2012Article
- Perinatal periods of risk: a community approach for using data to improve women and infants' health.Maternal and child health journal · 2010Article
- Integrated approaches to improve birth outcomes: perinatal periods of risk, infant mortality review, and the Los Angeles Mommy and Baby Project.Maternal and child health journal · 2010Article
- Perinatal periods of risk: phase 2 analytic methods for further investigating feto-infant mortality.Maternal and child health journal · 2010Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The Perinatal Periods of Risk (PPOR) methods provide the necessary framework and tools for large urban communities to investigate feto-infant mortality problems. Adapted from the Periods of Risk model developed by Dr. Brian McCarthy, the six-stage PPOR approach includes epidemiologic methods to be used in conjunction with community planning processes. Stage 2 of the PPOR approach has three major analytic parts: Analytic Preparation, which involves acquiring, preparing, and assessing vital records files; Phase 1 Analysis, which identifies local opportunity gaps; and Phase 2 Analyses, which investigate the opportunity gaps to determine likely causes of feto-infant mortality and to suggest appropriate actions. This article describes the first two analytic parts of PPOR, including methods, innovative aspects, rationale, limitations, and a community example. In Analytic Preparation, study files are acquired and prepared and data quality is assessed. In Phase 1 Analysis, feto-infant mortality is estimated for four distinct perinatal risk periods defined by both birthweight and age at death. These mutually exclusive risk periods are labeled Maternal Health and Prematurity, Maternal Care, Newborn Care, and Infant Health to suggest primary areas of prevention. Disparities within the study community are identified by comparing geographic areas, subpopulations, and time periods. Excess mortality numbers and rates are estimated by comparing the study population to an optimal reference population. This excess mortality is described as the opportunity gap because it indicates where communities have the potential to make improvement.
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Registered trials
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